GitHub

LocNet: Improving Localization Accuracy for Object Detection

"We propose a novel object localization methodology with the purpose of boosting the localization accuracy of state-of-the-art object detection systems. Our model, given a search region, aims at ...
IEEE

Implementation and Performance Evaluation of Improved Hybrid Deep Learning Approach for Anomaly Detection and Classification in Lung CT Images

Abstract: The goal of this study is to create and test improved enhanced deep learning approaches for anomaly detection and classification in CT images, specifically lung cancer images. The Improved ...
Frontiers

Transfer learning-enhanced CNN-GRU-attention model for knee joint torque prediction

Accurate prediction of joint torque is critical for preventing injury by providing precise insights into the forces acting on joints during activities. Traditional approaches, including inverse ...
Frontiers

Quantifying Vascular Density in Tissue Engineered Constructs Using Machine Learning

Given the considerable research efforts in understanding and manipulating the vasculature in tissue health and function, making effective measurements of vascular density is critical for a variety of ...
GitHub

Model Zoo

Check out the model zoo documentation for details. 16-layer: 7.5% top-5 error on ILSVRC-2012-val, 7.4% top-5 error on ILSVRC-2012-test 19-layer: 7.5% top-5 error on ...
Europe PMC

CNN-Based Estimation of Sagittal Plane Walking and Running Biomechanics From Measured and Simulated Inertial Sensor Data.

Machine learning is a promising approach to evaluate human movement based on wearable sensor data. A representative dataset for training data-driven models is crucial to ensure that the model ...